OpenML
Supervised Classification on madelon

Supervised Classification on madelon

Task 9976 Supervised Classification madelon 59790 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_98 study_99
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59790 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7985, kappa: 0.5969, kb_relative_information_score: 0.5678, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7985, predictive_accuracy: 0.7985, prior_entropy: 1, recall: 0.7985, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8667, f_measure: 0.7985, kappa: 0.5969, kb_relative_information_score: 0.5678, mean_absolute_error: 0.2203, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7985, predictive_accuracy: 0.7985, prior_entropy: 1, recall: 0.7985, relative_absolute_error: 0.4407, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.401, root_relative_squared_error: 0.8021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 0.6415, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8393, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9123, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 0.6415, mean_absolute_error: 0.1842, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8393, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3524, root_relative_squared_error: 0.7049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7338, kappa: 0.4677, kb_relative_information_score: 0.3272, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.734, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8149, f_measure: 0.7338, kappa: 0.4677, kb_relative_information_score: 0.3272, mean_absolute_error: 0.3505, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.734, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.701, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4188, root_relative_squared_error: 0.8376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7197, kappa: 0.4431, kb_relative_information_score: 0.1594, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7274, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.7197, kappa: 0.4431, kb_relative_information_score: 0.1594, mean_absolute_error: 0.435, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7274, predictive_accuracy: 0.7215, prior_entropy: 1, recall: 0.7215, relative_absolute_error: 0.8699, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7522, kappa: 0.5046, kb_relative_information_score: 0.4894, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7529, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8194, f_measure: 0.7522, kappa: 0.5046, kb_relative_information_score: 0.4894, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7529, predictive_accuracy: 0.7523, prior_entropy: 1, recall: 0.7523, relative_absolute_error: 0.5137, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4655, root_relative_squared_error: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.722, kappa: 0.4446, kb_relative_information_score: 0.2909, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7233, predictive_accuracy: 0.7223, prior_entropy: 1, recall: 0.7223, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7981, f_measure: 0.722, kappa: 0.4446, kb_relative_information_score: 0.2909, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7233, predictive_accuracy: 0.7223, prior_entropy: 1, recall: 0.7223, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4273, root_relative_squared_error: 0.8545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6614, kappa: 0.3315, kb_relative_information_score: 0.1332, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6748, predictive_accuracy: 0.6658, prior_entropy: 1, recall: 0.6658, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.6614, kappa: 0.3315, kb_relative_information_score: 0.1332, mean_absolute_error: 0.4456, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6748, predictive_accuracy: 0.6658, prior_entropy: 1, recall: 0.6658, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 0.531, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7262, f_measure: 0.6789, kappa: 0.3615, kb_relative_information_score: 0.1057, mean_absolute_error: 0.4583, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6851, predictive_accuracy: 0.6808, prior_entropy: 1, recall: 0.6808, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.9362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8549, f_measure: 0.78, kappa: 0.56, kb_relative_information_score: 0.531, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7801, predictive_accuracy: 0.78, prior_entropy: 1, recall: 0.78, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7934, kappa: 0.5869, kb_relative_information_score: 0.4218, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7937, predictive_accuracy: 0.7935, prior_entropy: 1, recall: 0.7935, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8708, f_measure: 0.7934, kappa: 0.5869, kb_relative_information_score: 0.4218, mean_absolute_error: 0.3062, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7937, predictive_accuracy: 0.7935, prior_entropy: 1, recall: 0.7935, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3819, root_relative_squared_error: 0.7639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7879, kappa: 0.5762, kb_relative_information_score: 0.3824, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7888, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7879, kappa: 0.5762, kb_relative_information_score: 0.3824, mean_absolute_error: 0.3264, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7888, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.6529, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.7843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 0.493, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7654, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8396, f_measure: 0.7654, kappa: 0.5308, kb_relative_information_score: 0.493, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7654, predictive_accuracy: 0.7654, prior_entropy: 1, recall: 0.7654, relative_absolute_error: 0.5164, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.6862, kappa: 0.3746, kb_relative_information_score: 0.1671, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.69, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7657, f_measure: 0.6862, kappa: 0.3746, kb_relative_information_score: 0.1671, mean_absolute_error: 0.4306, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.69, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.8613, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.756, kappa: 0.5123, kb_relative_information_score: 0.5001, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7567, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.756, kappa: 0.5123, kb_relative_information_score: 0.5001, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7567, predictive_accuracy: 0.7562, prior_entropy: 1, recall: 0.7562, relative_absolute_error: 0.5032, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8277, kappa: 0.6554, kb_relative_information_score: 0.5481, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8278, predictive_accuracy: 0.8277, prior_entropy: 1, recall: 0.8277, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8957, f_measure: 0.8277, kappa: 0.6554, kb_relative_information_score: 0.5481, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8278, predictive_accuracy: 0.8277, prior_entropy: 1, recall: 0.8277, relative_absolute_error: 0.4783, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.743, kappa: 0.4862, kb_relative_information_score: 0.3688, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7434, predictive_accuracy: 0.7431, prior_entropy: 1, recall: 0.7431, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.6859, kappa: 0.3731, kb_relative_information_score: 0.1847, mean_absolute_error: 0.4218, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.688, predictive_accuracy: 0.6865, prior_entropy: 1, recall: 0.6865, relative_absolute_error: 0.8436, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4468, root_relative_squared_error: 0.8937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8221, f_measure: 0.743, kappa: 0.4862, kb_relative_information_score: 0.3688, mean_absolute_error: 0.3283, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7434, predictive_accuracy: 0.7431, prior_entropy: 1, recall: 0.7431, relative_absolute_error: 0.6565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4153, root_relative_squared_error: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8165, kappa: 0.6331, kb_relative_information_score: 0.5225, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.817, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8926, f_measure: 0.8165, kappa: 0.6331, kb_relative_information_score: 0.5225, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.817, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.5031, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 0.6322, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8414, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.8411, kappa: 0.6823, kb_relative_information_score: 0.6322, mean_absolute_error: 0.1903, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8414, predictive_accuracy: 0.8412, prior_entropy: 1, recall: 0.8412, relative_absolute_error: 0.3806, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3518, root_relative_squared_error: 0.7036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 0.577, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8392, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.8388, kappa: 0.6777, kb_relative_information_score: 0.577, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8392, predictive_accuracy: 0.8388, prior_entropy: 1, recall: 0.8388, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.6909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7879, kappa: 0.5762, kb_relative_information_score: 0.4433, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.789, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8662, f_measure: 0.7879, kappa: 0.5762, kb_relative_information_score: 0.4433, mean_absolute_error: 0.2928, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.789, predictive_accuracy: 0.7881, prior_entropy: 1, recall: 0.7881, relative_absolute_error: 0.5857, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 0.669, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8442, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8438, kappa: 0.6877, kb_relative_information_score: 0.669, mean_absolute_error: 0.1682, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8442, predictive_accuracy: 0.8438, prior_entropy: 1, recall: 0.8438, relative_absolute_error: 0.3364, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7535, kappa: 0.5069, kb_relative_information_score: 0.4969, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7535, predictive_accuracy: 0.7535, prior_entropy: 1, recall: 0.7535, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7535, kappa: 0.5069, kb_relative_information_score: 0.4969, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7535, predictive_accuracy: 0.7535, prior_entropy: 1, recall: 0.7535, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.9152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7023, kappa: 0.41, kb_relative_information_score: 0.1713, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7127, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.7023, kappa: 0.41, kb_relative_information_score: 0.1713, mean_absolute_error: 0.429, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7127, predictive_accuracy: 0.705, prior_entropy: 1, recall: 0.705, relative_absolute_error: 0.8581, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7338, kappa: 0.4677, kb_relative_information_score: 0.3577, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.734, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8152, f_measure: 0.7338, kappa: 0.4677, kb_relative_information_score: 0.3577, mean_absolute_error: 0.3332, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.734, predictive_accuracy: 0.7338, prior_entropy: 1, recall: 0.7338, relative_absolute_error: 0.6665, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.42, root_relative_squared_error: 0.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7877, kappa: 0.5754, kb_relative_information_score: 0.3045, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7877, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8632, f_measure: 0.7877, kappa: 0.5754, kb_relative_information_score: 0.3045, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7877, predictive_accuracy: 0.7877, prior_entropy: 1, recall: 0.7877, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7856, kappa: 0.5715, kb_relative_information_score: 0.4386, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7867, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8614, f_measure: 0.7856, kappa: 0.5715, kb_relative_information_score: 0.4386, mean_absolute_error: 0.2948, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7867, predictive_accuracy: 0.7858, prior_entropy: 1, recall: 0.7858, relative_absolute_error: 0.5896, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3878, root_relative_squared_error: 0.7757,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7199, kappa: 0.44, kb_relative_information_score: 0.4263, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.7199, kappa: 0.44, kb_relative_information_score: 0.4263, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7202, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.5774, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.6873, kappa: 0.3746, kb_relative_information_score: 0.3568, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6873, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7523, f_measure: 0.6873, kappa: 0.3746, kb_relative_information_score: 0.3568, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6873, predictive_accuracy: 0.6873, prior_entropy: 1, recall: 0.6873, relative_absolute_error: 0.6483, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8403, kappa: 0.6808, kb_relative_information_score: 0.6639, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8409, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8403, kappa: 0.6808, kb_relative_information_score: 0.6639, mean_absolute_error: 0.1706, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8409, predictive_accuracy: 0.8404, prior_entropy: 1, recall: 0.8404, relative_absolute_error: 0.3411, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7774, kappa: 0.5554, kb_relative_information_score: 0.2545, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7793, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.7774, kappa: 0.5554, kb_relative_information_score: 0.2545, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7793, predictive_accuracy: 0.7777, prior_entropy: 1, recall: 0.7777, relative_absolute_error: 0.7851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8173, kappa: 0.6346, kb_relative_information_score: 0.3508, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8174, predictive_accuracy: 0.8173, prior_entropy: 1, recall: 0.8173, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8893, f_measure: 0.8173, kappa: 0.6346, kb_relative_information_score: 0.3508, mean_absolute_error: 0.3488, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8174, predictive_accuracy: 0.8173, prior_entropy: 1, recall: 0.8173, relative_absolute_error: 0.6977, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3848, root_relative_squared_error: 0.7697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8477, kappa: 0.6954, kb_relative_information_score: 0.6785, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.848, predictive_accuracy: 0.8477, prior_entropy: 1, recall: 0.8477, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8517, f_measure: 0.7888, kappa: 0.5777, kb_relative_information_score: 0.4217, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7889, predictive_accuracy: 0.7888, prior_entropy: 1, recall: 0.7888, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8477, kappa: 0.6954, kb_relative_information_score: 0.6785, mean_absolute_error: 0.1632, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.848, predictive_accuracy: 0.8477, prior_entropy: 1, recall: 0.8477, relative_absolute_error: 0.3264, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.735, kappa: 0.47, kb_relative_information_score: 0.4598, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.735, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.735, kappa: 0.47, kb_relative_information_score: 0.4598, mean_absolute_error: 0.2719, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.735, predictive_accuracy: 0.735, prior_entropy: 1, recall: 0.735, relative_absolute_error: 0.5439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.469, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 0.6506, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8379, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8764, f_measure: 0.8377, kappa: 0.6754, kb_relative_information_score: 0.6506, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8379, predictive_accuracy: 0.8377, prior_entropy: 1, recall: 0.8377, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.81, f_measure: 0.7313, kappa: 0.4638, kb_relative_information_score: 0.2122, mean_absolute_error: 0.4109, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7339, predictive_accuracy: 0.7319, prior_entropy: 1, recall: 0.7319, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.8682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8338, kappa: 0.6677, kb_relative_information_score: 0.4183, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8342, predictive_accuracy: 0.8338, prior_entropy: 1, recall: 0.8338, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7984, f_measure: 0.7279, kappa: 0.4562, kb_relative_information_score: 0.4309, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7286, predictive_accuracy: 0.7281, prior_entropy: 1, recall: 0.7281, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4668, root_relative_squared_error: 0.9336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8338, kappa: 0.6677, kb_relative_information_score: 0.4183, mean_absolute_error: 0.3138, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8342, predictive_accuracy: 0.8338, prior_entropy: 1, recall: 0.8338, relative_absolute_error: 0.6276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3679, root_relative_squared_error: 0.7357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8165, kappa: 0.6331, kb_relative_information_score: 0.5908, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8171, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7719, f_measure: 0.7178, kappa: 0.44, kb_relative_information_score: 0.1492, mean_absolute_error: 0.4396, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7271, predictive_accuracy: 0.72, prior_entropy: 1, recall: 0.72, relative_absolute_error: 0.8791, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8941, f_measure: 0.8165, kappa: 0.6331, kb_relative_information_score: 0.5908, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8171, predictive_accuracy: 0.8165, prior_entropy: 1, recall: 0.8165, relative_absolute_error: 0.4194, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.374, root_relative_squared_error: 0.7481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7995, kappa: 0.5992, kb_relative_information_score: 0.5003, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8003, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.879, f_measure: 0.7995, kappa: 0.5992, kb_relative_information_score: 0.5003, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8003, predictive_accuracy: 0.7996, prior_entropy: 1, recall: 0.7996, relative_absolute_error: 0.5217, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3771, root_relative_squared_error: 0.7543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8349, kappa: 0.67, kb_relative_information_score: 0.643, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8356, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9047, f_measure: 0.8349, kappa: 0.67, kb_relative_information_score: 0.643, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8356, predictive_accuracy: 0.835, prior_entropy: 1, recall: 0.835, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.368, root_relative_squared_error: 0.7359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7759, kappa: 0.5523, kb_relative_information_score: 0.42, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7773, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.7759, kappa: 0.5523, kb_relative_information_score: 0.42, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7773, predictive_accuracy: 0.7762, prior_entropy: 1, recall: 0.7762, relative_absolute_error: 0.6062, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3968, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6577, kappa: 0.3154, kb_relative_information_score: 0.2863, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6577, predictive_accuracy: 0.6577, prior_entropy: 1, recall: 0.6577, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6577, kappa: 0.3154, kb_relative_information_score: 0.2863, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6577, predictive_accuracy: 0.6577, prior_entropy: 1, recall: 0.6577, relative_absolute_error: 0.7224, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7806, kappa: 0.5615, kb_relative_information_score: 0.4864, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7806, kappa: 0.5615, kb_relative_information_score: 0.4864, mean_absolute_error: 0.2661, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7815, predictive_accuracy: 0.7808, prior_entropy: 1, recall: 0.7808, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3902, root_relative_squared_error: 0.7805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.6568, kappa: 0.3138, kb_relative_information_score: 0.2896, mean_absolute_error: 0.3581, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6571, predictive_accuracy: 0.6569, prior_entropy: 1, recall: 0.6569, relative_absolute_error: 0.7162, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5127, root_relative_squared_error: 1.0255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.784, kappa: 0.5685, kb_relative_information_score: 0.286, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7855, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7272, kappa: 0.4546, kb_relative_information_score: 0.2451, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7276, predictive_accuracy: 0.7273, prior_entropy: 1, recall: 0.7273, relative_absolute_error: 0.7875, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, f_measure: 0.784, kappa: 0.5685, kb_relative_information_score: 0.286, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7855, predictive_accuracy: 0.7842, prior_entropy: 1, recall: 0.7842, relative_absolute_error: 0.7565, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7166, kappa: 0.4338, kb_relative_information_score: 0.2817, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7181, predictive_accuracy: 0.7169, prior_entropy: 1, recall: 0.7169, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7965, f_measure: 0.7166, kappa: 0.4338, kb_relative_information_score: 0.2817, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7181, predictive_accuracy: 0.7169, prior_entropy: 1, recall: 0.7169, relative_absolute_error: 0.7471, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7733, kappa: 0.5469, kb_relative_information_score: 0.391, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7742, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8538, f_measure: 0.7733, kappa: 0.5469, kb_relative_information_score: 0.391, mean_absolute_error: 0.3202, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7742, predictive_accuracy: 0.7735, prior_entropy: 1, recall: 0.7735, relative_absolute_error: 0.6405, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.7896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7361, kappa: 0.4723, kb_relative_information_score: 0.4581, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7362, predictive_accuracy: 0.7362, prior_entropy: 1, recall: 0.7362, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8, f_measure: 0.7361, kappa: 0.4723, kb_relative_information_score: 0.4581, mean_absolute_error: 0.2728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.7362, predictive_accuracy: 0.7362, prior_entropy: 1, recall: 0.7362, relative_absolute_error: 0.5455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4807, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 0.6554, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9119, f_measure: 0.8384, kappa: 0.6769, kb_relative_information_score: 0.6554, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8391, predictive_accuracy: 0.8385, prior_entropy: 1, recall: 0.8385, relative_absolute_error: 0.351, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3604, root_relative_squared_error: 0.7207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 0.3611, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8252, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.825, kappa: 0.65, kb_relative_information_score: 0.3611, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.8252, predictive_accuracy: 0.825, prior_entropy: 1, recall: 0.825, relative_absolute_error: 0.6882, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.769,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs